Drift-Correction Techniques for Scale-Adaptive VR Navigation
summary
Characterizes how scale-adaptive translational gains create a growing real/virtual mismatch and measures it with a 12-participant study using a scale factor of 8 where 4 participants drifted out of tracking on 6– and 12-flag paths. Proposes two correction models, derivative and angular correction, tunes alpha=epsilon=0.25 by simulating user trajectories, and reports the angular approach cuts average drift from ~70 cm to ~20 cm. Validates on 42-flag sequences with NaviFields and Seven-League Boots, extending reachable targets without slowing or degrading comfort.
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chapters (9)
- 0:00Introduction to drift correction
- 0:40Scale-adaptive VR navigation challenges
- 2:21User study on drift effects
- 5:35Modeling correction techniques
- 7:32Simulations for parameter tuning
- 9:16Second user study design
- 11:51Results of correction method
- 14:05Summary and conclusions
- 15:09Audience Q&A begins
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